ileanadatamania/Data-Science-Portfolio
Data Science Portfolio
This portfolio of analyses helps e-commerce or brick-and-mortar vendors understand how product prices affect customer demand and sales. By inputting product sales data, it calculates how sensitive demand is to price changes and competitor pricing, and also helps categorize products without existing labels. Marketing managers, product managers, and business analysts can use these insights to set effective pricing strategies and improve product categorization.
No commits in the last 6 months.
Use this if you need to determine the optimal pricing for your products, understand how competitor price changes impact your sales, or categorize unlabelled product descriptions.
Not ideal if you are looking for a fully automated, production-ready system rather than a collection of analytical approaches and examples.
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Last pushed
Jan 21, 2021
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